license: apache-2.0
license: apache-2.0 task_categories: - document-understanding - text-generation language: - en
README.md train.jsonl val.jsonl test.jsonl {"instruction":"Extract payment amount and due date from the document","input":"Invoice #1029. Total payable amount is $5,000 due by January 30, 2025.","output":"{"amount":"$5,000","due_date":"2025-01-30"}"} {"instruction":"Identify potential risks in the contract","input":"Payment shall be made within 90 days. No penalty clause is specified.","output":"{"risk":"Delayed payment risk"}"}
{"instruction":"Extract key entities from the agreement","input":"The client agrees to pay USD 12,000 upon project completion.","output":"{"amount":"$12,000"}"}
{"instruction":"Classify the document section","input":"Termination clause: Either party may terminate with 30 days notice.","output":"{"section":"Termination"}"}
DocuMind ERNIE 4.5 Document Reasoning Dataset
Instruction-style dataset for fine-tuning ERNIE 4.5 on OCR-based document understanding and reasoning tasks.
Data Source
Documents are processed using PaddleOCR-VL to extract text and layout. Data is anonymized and partially synthetic.
Schema
Each record: { "instruction": "...", "input": "", "output": "" }
Tasks
- Entity extraction
- Risk identification
- Section classification
- Contract reasoning
Splits
- train.jsonl
- val.jsonl
- test.jsonl
License
Apache-2.0